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. Author manuscript; available in PMC: 2016 Mar 1.
Published in final edited form as: J Causal Inference. 2015 Oct 14;3(1):61–95. doi: 10.1515/jci-2013-0022

Figure 2.

Figure 2

Coverage of 95% confidence intervals from the TMLE and DR-IPCW methods with respect to both EP0 Yd0 and the data adaptive parameter ψ0n for the TMLE and DR-IPCW and ψ~0n for the cross-validated methods. Results are provided both for the cases where the estimate En[Y∣A‒(1),W] of EP0[Y∣A‒(1),W] is correctly specified and the case where this estimate is incorrectly specified with the constant function 1/2. The (CV-)TMLE outperforms the (CV-)DR-IPCW estimating equation approach for almost all settings. Error bars indicate 95% confidence intervals to account for uncertainty from the finite number of Monte Carlo draws in our simulation. (a) V=L1(1), (b) V=L1(1), …, L4(1).